A data‐driven probabilistic power flow method based on convolutional neural networks
Author:
Affiliation:
1. Department of Electrical EngineeringTsinghua University Haidian, Beijing China
2. Guangdong Power Grid Power Dispatching Control CenterGuangdong Power Grid Co., Ltd. (GPGC) Guangzhou China
Funder
Key Research and Development Program of Guangdong Province, China
Scientific Research Project of Guangdong Province Power Grid Company
Publisher
Hindawi Limited
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/2050-7038.12367
Reference40 articles.
1. Modern Power Systems Analysis
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4. Stochastic power flow using cumulants and Von Mises functions
5. Point Estimate Schemes to Solve the Probabilistic Power Flow
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